Titlebook: Intelligence and Security Informatics; Pacific Asia Worksho Michael Chau,Hsinchun Chen,Jau-Hwang Wang Conference proceedings 2014 Springer

institute

水土

Yuichi Goto,Liqing Xu,Ning Zhang,Jingde Chengt?ten, zwischen denen sich soziale Prozesse generell bewegen und deren jeweilige Balance ma?geblich ihren Erfolg oder Misserfolg pr?gt. Zur gelingenden Gestaltung sozialer Interaktionen werden darüber hinaus ebenso grundlegende wie hilfreiche Steuerungselemente beschrieben und praxisnah veranschauli

大漩渦

Ping Han Lei,Pingyu Hsu,Ming Shien Chengt?ten, zwischen denen sich soziale Prozesse generell bewegen und deren jeweilige Balance ma?geblich ihren Erfolg oder Misserfolg pr?gt. Zur gelingenden Gestaltung sozialer Interaktionen werden darüber hinaus ebenso grundlegende wie hilfreiche Steuerungselemente beschrieben und praxisnah veranschauli

陰謀

,Knowledge Management in Cybercrime Investigation – A Case Study of Identifying Cybercrime Investigan knowledge has better ability in cybercrime investigation and identities cybercrime investigation knowledge in Taiwan. Law enforcement agencies could identify and close the knowledge gap to successfully fight against cybercrime.

痛得哭了

EVADE

Talkative

Identify the Online Product Comments with Suspicious Chinese Content,ter and more suitable buying decision. Based on the models developed in this study, the results show that the articles with more important attribute vocabulary and fuzzy vocabulary and fewer words are more likely to contain rumors. The results also show that rumor articles and articles containing no

特征

Automatically Explore Inter-Discipline Technology from Chinese Patent Documents, studies, even discovering emerging technology—the most popular topic, adopted the published patent documents written by English and based on USPTO for patent analysis. Seldom of patent analysis research collected patent documents written by Chinese—the most population language. Our research attempt

責(zé)問

A LDA Feature Grouping Method for Subspace Clustering of Text Data,low probabilities in the word distribution of the corresponding topics. Experiments were conducted on three real-life text data sets to compare the new method with three existing clustering algorithms. The experiment results have shown that the new method improved the clustering performance in comparison with other methods.

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